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Kahini Wadhawan
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Causal Graphs Underlying Generative Models: Path to Learning with Limited Data


Jul 14, 2022
Samuel C. Hoffman, Kahini Wadhawan, Payel Das, Prasanna Sattigeri, Karthikeyan Shanmugam

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Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention


Aug 18, 2021
Kahini Wadhawan, Payel Das, Barbara A. Han, Ilya R. Fischhoff, Adrian C. Castellanos, Arvind Varsani, Kush R. Varshney

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* 11 pages, 8 figures, 1 table, accepted at ICLR 2021 workshop Machine learning for preventing and combating pandemics 
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Optimizing Molecules using Efficient Queries from Property Evaluations


Nov 03, 2020
Samuel Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das

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Effects of Naturalistic Variation in Goal-Oriented Dialog


Oct 05, 2020
Jatin Ganhotra, Robert Moore, Sachindra Joshi, Kahini Wadhawan

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* Findings of EMNLP 2020. The updated datasets are available at: https://github.com/IBM/naturalistic-variation-goal-oriented-dialog-datasets 
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Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics


May 22, 2020
Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cicero dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic

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Co-regularized Alignment for Unsupervised Domain Adaptation


Nov 13, 2018
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogerio Feris, William T. Freeman, Gregory Wornell

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* NIPS 2018 accepted version 
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PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences


Oct 22, 2018
Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cicero Dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic

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Improved Neural Text Attribute Transfer with Non-parallel Data


Dec 04, 2017
Igor Melnyk, Cicero Nogueira dos Santos, Kahini Wadhawan, Inkit Padhi, Abhishek Kumar

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* NIPS 2017 Workshop on Learning Disentangled Representations: from Perception to Control 
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Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks


Jul 07, 2017
Cicero Nogueira dos Santos, Kahini Wadhawan, Bowen Zhou

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* 11 pages 
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